Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Leve(n) de bodem! : de basis onder ons bestaan
Brussaard, L. ; Govers, F.P.M. ; Buiter, R.M. - \ 2016
Den Haag : Stichting Bio-Wetenschappen en Maatschappij (Cahier / Biowetenschappen en Maatschappij 35e jaargang (2016) kwartaal 3) - ISBN 9789073196834 - 88
bodemkunde - bodembiologie - bodemkwaliteit - landbouwgronden - bodemvruchtbaarheid - bodembeheer - bodemweerbaarheid - bodemmicrobiologie - duurzaam bodemgebruik - lesmaterialen - soil science - soil biology - soil quality - agricultural soils - soil fertility - soil management - soil suppressiveness - soil microbiology - sustainable land use - teaching materials
De bodem is niet alleen letterlijk de grond onder ons bestaan, ze is dat ook figuurlijk. Vruchtbare bodems leveren ons bijvoorbeeld voedsel, water en grondstoffen, maar ook een heel scala aan andere ecosysteemdiensten. In één theelepel zwarte grond leven meer organismen dan er mensen zijn op de hele aarde. Ze zorgen ervoor dat planten gebruik kunnen maken van de voedingsstoffen in de bodem en in een gezonde bodem krijgen ziekteverwekkers ook minder kans. Nu we steeds beter begrijpen hóe ze dat doen, kunnen wij zelfs nieuwe antibiotica vinden in de bodem! In dit cahier laten wetenschappers van naam op het gebied van het bodemonderzoek niet alleen zien welke diensten een gezonde bodem al vele eeuwen levert. Ze vertellen ook hoe de figuurlijke bodem onder ons bestaan tegelijk grond voor inspiratie is voor voedsel en technologie voor de toekomst.
Global assessment of soil phosphorus retention potential
Batjes, N.H. - \ 2016
soil science
Limited availability of P in soils to crops may be due to deficiency and/or severe P retention. Earlier studies that drew on large soil profile databases have indicated that it is not (yet) feasible to present meaningful values for “plant-available” soil P, obtained according to comparable analytical methods, that may be linked to soil geographical databases derived from 1:5 million scale FAO Digital Soil Map of the World, such as the 5 x 5 arc-minute version of the ISRIC-WISE database. Therefore, an alternative solution for studying possible crop responses to fertilizer-P applied to soils, at a broad scale, was sought. The approach described in this report considers the inherent capacity of soils to retain phosphorus (P retention), in various forms. Main controlling factors of P retention processes, at the broad scale under consideration, are considered to be pH, soil mineralogy, and clay content. First, derived values for these properties were used to rate the inferred capacity for P retention of the component soil units of each map unit (or grid cell) using four classes (i.e., Low, Moderate, High, and Very High). Subsequently, the overall soil phosphorus retention potential was assessed for each mapping unit, taking into account the P-ratings and relative proportion of each component soil unit. Each P retention class has been assigned to a likely fertilizer P recovery fraction, derived from the literature, thereby permitting spatially more detailed, integrated model-based studies of environmental sustainability and agricultural production at the global and continental level (< 1:5 million). Nonetheless, uncertainties remain high; the present analysis provides an approximation of world soil phosphorus retention potential.
Atmospheric Boundary Layer, Integrating Air Chemistry and Land Interactions
Vilà-Guerau De Arellano, J. ; Heerwaarden, C.C. van; Stratum, B.J.H. van; Dries, C.L.A.M. van den - \ 2015
New York : Cambridge University Press - ISBN 9781107090941 - 265
atmosferische grenslaag - atmosfeer - fysica - chemie - plantenfysiologie - vegetatie - bodemkunde - meteorologie - agrometeorologie - hydrologie - studieboeken - atmospheric boundary-layer - atmosphere - physics - chemistry - plant physiology - vegetation - soil science - meteorology - agricultural meteorology - hydrology - textbooks
This textbook provides an introduction to the interactions between the atmosphere and the land for advanced undergraduate and graduate students and a reference text for researchers in atmospheric physics and chemistry, hydrology, and plant physiology. The combination of the book, which provides the essential theoretical concepts, and the associated interactive Chemistry Land-surface Atmosphere Soil Slab (CLASS) software, which provides hands-on practical exercises and allows students to design their own numerical experiments, will prove invaluable for learning about many aspects of the soil-vegetation-atmosphere system. This book has a modular and flexible structure, allowing instructors to accommodate it to their own learning-outcome needs.
Soil property maps of Africa at 250 m
Hengl, T. - \ 2015
soil science
Over the period 2008–2014, the AfSIS project has compiled two soil profile data sets: the Africa Soil Profiles (legacy) database [Leenaars, 2014] and the AfSIS Sentinel Site (new soil samples) database [Vagen et al, 2010], jointly consisting of ca. 28 thousand sampling locations. Using these soil point observations and an extensive collection of global (SoilGrids1km) and local (African continent) environmental covariates, ISRIC - World Soil Information, in collaboration with The Earth Institute, Columbia University, World Agroforestry Centre, Nairobi and the International Center for Tropical Agriculture (CIAT), have produced (February 2015) predictions of soil properties — organic carbon, pH, sand, silt and clay fractions, coarse fragments, bulk density, cation-exchange capacity, total nitrogen, exchangeable acidity, Al content, and exchangeable bases (Ca, K, Mg, Na) — for the whole African continent at 250 m spatial resolution at two or six standard soil depths. The predictions are obtained using an automated mapping framework (3D regression-kriging based on random forests). Compressed GeoTiffs of the soil property maps, together with all metadata, input data sets and the R functions used to generate the maps, are available for download from here. A web-mapping interface to the maps is available via: http://af.soilgrids.org/. Read more about how were these maps made.
Hoe levert onderzoek naar modder nieuwe medicijnen op?
Vet, L.E.M. - \ 2015
Universiteit van Nederland
bodemkunde - bodembiologie - bodembiodiversiteit - lesmaterialen - boven- en ondergrondse interacties - plant-microbe interacties - bodemmicrobiologie - bodemweerbaarheid - biodiversiteit - soil science - soil biology - soil biodiversity - teaching materials - aboveground belowground interactions - plant-microbe interactions - soil microbiology - soil suppressiveness - biodiversity
Onze bodem krioelt van micro-organismen. Aan zulke micro-organismen hebben we de ontdekking van onder meer penicilline te danken. Wat kunnen we nog meer aantreffen in die bio-schatkist onder onze voeten? Prof. dr. Louise Vet van Wageningen UR vertelt erover in haar college.
SOTER-based soil parameter estimates for the Indo-Gangetic Plains of India (ver. 1.0)
Batjes, N.H. ; Bhattacharyya, T. ; Mandal, C. ; Dijkshoorn, J.A. ; Milne, E. ; Gajbhiye, K.S. - \ 2014
soil science
Metis_ID: 166424 This harmonized set of soil parameter estimates for the Indo-Gangetic Plains (IGP) of India, at scale 1:1 000 000, has been derived from soil and terrain data collated in SOTER format by staff of the National Bureau of Soil Survey and Land Use Planning (NBSS & LUP) at Nagpur, India. The data set has been prepared for use in the project on "Assessment of soil organic carbon stocks and change at ... national scale" (GEFSOC), which has IGP-India as one of its four case study areas (see http://www.nrel.colostate.edu/projects/gefsoc-uk/). The land surface of IGP-India has been characterized using 36 unique SOTER units, corresponding with 497 polygons. The major soils of these units have been described using 36 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. Gaps in the measured soil profile data have been filled using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminum saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity(-33 to-1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure; taxotransfer rules have been flagged to provide an indication of the confidence in the derived data. Results are presented as summary files and can be linked to the 1:1M scale SOTER map in a GIS, through the unique SOTER-unit code. The secondary SOTER data set for IGP-India is considered appropriate for exploratory studies at regional scale (<1:1M); correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered.
Harmonized World Soil Database (version 1.0)
Nachtergaele, F.O. ; Velthuizen, H. van; Wiberg, D. ; Batjes, N.H. ; Dijkshoorn, J.A. ; Engelen, V.W.P. van; Fischer, G. ; Jones, A. ; Montanarela, L. ; Petri, M. ; Prieler, S. ; Teixeira, E. ; Shi, X. - \ 2014
soil science
METIS-ID: 167825 The Harmonized World Soil Database is a 30 arc-second raster database with over 15000 different soil mapping units that combines existing regional and national updates of soil information worldwide (SOTER, ESD, Soil Map of China, ISRIC-WISE) with the information contained within the 1:5 000 000 scale FAO-UNESCO Soil Map of the World (FAO, 1971-1981). The resulting raster database consists of ... 21600 rows and 43200 columns, which are linked to harmonized soil property data. The use of a standardized structure allows for the linkage of the attribute data with the raster map to display or query the composition in terms of soil units and the characterization of selected soil parameters (organic Carbon, pH, water storage capacity, soil depth, cation exchange capacity of the soil and the clay fraction, total exchangeable nutrients, lime and gypsum contents, sodium exchange percentage, salinity, textural class and granulometry). Reliability of the information contained in the database is variable: the parts of the database that still make use of the Soil Map of the World such as North America, Australia, West Africa and South Asia are considered less reliable, while most of the areas covered by SOTER databases are considered to have the highest reliability (Southern Africa, Latin America and the Caribbean, Central and Eastern Europe). Further expansion and update of the HWSD is foreseen for the near future, notably with the excellent databases held in the USA (Natural Resources Conservation Service US General Soil Map, STATSGO), Canada (Agriculture and AgriFood Canada: The National Soil Database NSDB), and Australia (CSIRO, ACLEP, Nnatural Heritage Trust and National Land and Water Resources Audit: ASRIS), and with the recently released SOTER database for Central Africa (FAO/ISRIC/Univ. Gent, 2007)
SoilGrids1km : a system for automated global soil mapping, Version: 5th of April 2014
Hengl, T. ; Mendes de Jesus, J.S. ; Carvalho Ribeiro, E.D. ; Batjes, N.H. ; Heuvelink, G.B.M. ; Kempen, B. ; Ruiperez Gonzalez, M. ; Leenaars, J.G.B. ; Caspari, T.M. ; Samuel Rosa, A. ; Reuter, H.I. ; Macmillan, R.A. - \ 2014
geographical information systems - soil science
SoilGrids1km is a collection of updatable soil property and class maps of the world at a relatively coarse resolution of 1 km produced using state-of-the-art model-based statistical methods: 3D regression with splines for continuous soil properties and multinomial logistic regression for soil classes.
Africa Soil Profiles Database, Version 1.2
Leenaars, J.G.B. ; Oostrum, A.J.M. van; Ruiperez Gonzalez, M. - \ 2014
soil science
ISRIC World Soil Information is compiling legacy soil profile data of Sub Saharan Africa, as a project activity of the AfSIS project (Globally integrated- Africa Soil Information Service). http://www.africasoils.net/data/legacyprofile The Africa Soil Profiles Database version 1.2 (November 2014) holds 18,532 unique soil profile records of which 17,160 records are georeferenced, including associated soil profile layer attribute data, inventoried and compiled from a wide variety (> 500) of data sources. Soil analytical data are available for 15,564 profiles of which 14,197 are georeferenced. The database includes, but is not limited, to the soil attributes specified by GlobalSoilMap.net. The original attribute values are standardized according to e-SOTER conventions and validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data that are previously and thoroughly validated are compiled together with non-reference soil profile data of lesser inherent representativeness. The profiles are geo-referenced with a median precision of approximately 250m. Details of the data and the data model are described in the associated report. Earlier versions of the dataset, which is continuously updated and growing, have been posted online and are available to the project and the public. The dataset will also be made available through the World Soil Information Service. The current version is released here as version 1.2.
Chemical and biological rhizosphere interactions in low zinc soils
Duffner, A. - \ 2014
University. Promotor(en): Ellis Hoffland; Sjoerd van der Zee, co-promotor(en): Erwin Temminghoff. - Wageningen : Wageningen University - ISBN 9789462571631 - 131
bodem - zink - rizosfeer - voedingsstoffentekorten - bodemkunde - planten - voedingsstoffenopname (planten) - biologische beschikbaarheid - bodemkwaliteit - bodemvruchtbaarheid - soil - zinc - rhizosphere - nutrient deficiencies - soil science - plants - nutrient uptake - bioavailability - soil quality - soil fertility

Abstract of the PhD thesis entitled “Chemical and biological rhizosphere

interactions in low zinc soils” by Andreas Duffner

Soil provides ecosystem services critical for life. The availability of micronutrients, such as zinc (Zn), in soils is an essential factor for normal healthy growth and reproduction of plants. Zinc deficiency is, however, a global problem in crop production due to low Zn bioavailability in soils to plants. The bioavailable Zn fraction in soils is controlled by several factors and is not directly related to the total Zn content of soils. The main objective of this thesis was the determination of factors which control Zn bioavailability in soils to plants and to assess approaches to improve the prediction of Zn plant uptake.

Based on rhizobox experiments, in situ measurements in the rhizosphere as well as multisurface- and radial transport modeling approaches it was shown that the effect of root exuded citrate for increasing plant available Zn is soil specific and does not depend on a specific concentration of low molecular weight organic acids (e.g. citric acid) in the soil solution. Using various low Zn soils at the same time in an experimental setting improved the understanding of soil-responsiveness to root exuded citrate.

Another insight was that multisurface models, which are widely used to assess the potential ecotoxicological risk in metal-contaminated soils, are also accurate to predict the Zn activity in soils with low Zn levels. The predictions were validated with the soil column Donnan Membrane Technique by using various soils with low Zn levels. It was predicted that soil organic matter is the dominant Zn sorbent and controlled the Zn activity also at low soil organic matter levels. Examples were shown how this modeling approach can be used to assess management options to increase bioavailable Zn to plants.

Using soil extracted Zn fractions to directly predict the Zn plant uptake at low Zn levels was shown to be inaccurate. Using a stepwise approach where the steps of the uptake process were characterized with, respectively, Zn solid-solution distribution, adsorption of Zn to root surface, Zn uptake into root and Zn translocation to shoot made the prediction of Zn plant uptake more accurate. Root surface adsorbed Zn was shown to be a useful proxy for the bioavailable Zn.

The framework of experimental and modeling approaches which were developed and applied in this thesis can also be used to study the plant-availability of other micronutrients at low concentration levels and how that is affected by various root exuded ligands.

Indianenverhalen over zwarte grond : zoektocht naar de werking van biochar
Nijland, R. ; Voorde, T.F.J. van de - \ 2014
WageningenWorld 2014 (2014)1. - ISSN 2210-7908 - p. 34 - 39.
biochar - bodemvruchtbaarheid - bodemverbeteraars - koolstofvastlegging in de bodem - duurzaamheid (sustainability) - black soils - bodemkunde - biobased economy - soil fertility - soil conditioners - soil carbon sequestration - sustainability - soil science
Een eeuwenoude, door de indianen gebruikte methode voor het verbeteren van de bodem met houtskool, staat weer volop in de belangstelling. De zwarte grond zou het klimaatprobleem oplossen en het regenwoud redden. Maar zo eenvoudig is het niet, blijkt uit onderzoek.
Transport in the atmosphere-vegetation-soil continuum
Moene, A.F. ; Dam, J.C. van - \ 2014
New York, NY : Cambridge University Press - ISBN 9780521195683
ecohydrologie - hydrologie - bodemfysica - micrometeorologie - meteorologie - atmosfeer - vegetatie - bodemkunde - bodemwater - transportprocessen - beweging in de bodem - ecohydrology - hydrology - soil physics - micrometeorology - meteorology - atmosphere - vegetation - soil science - soil water - transport processes - movement in soil
Traditionally, soil science, atmospheric science, hydrology, plant science and agriculture have been studied largely as separate subjects. These systems are clearly interlinked, however, and in recent years a great deal of interdisciplinary research has been undertaken to better understand the interactions. This textbook was developed from a course that the authors have been teaching for many years on atmosphere-vegetation-soil interactions at one of the leading international research institutes in environmental science and agriculture. The book describes the atmosphere-vegetation-soil continuum from the perspective of several interrelated disciplines, integrated into one textbook.
SOTER-based soil parameter estimates for Latin America and the Caribbean (ver. 1.0)
Batjes, N.H. - \ 2014
soil science
This harmonized set of soil parameter estimates for Latin America and the Caribbean was derived from a revised version of the 1:5M Soil and Terrain Database for the region (SOTERLAC, ver. 2.0) and the ISRIC-WISE soil profile database. The land surface of Latin America and the Caribbean has been characterized using 1585 unique SOTER units, corresponding with ... 5855 polygons. The major soils have been described using 1660 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a step-wise procedure that uses taxotransfer rules, based on about 9600 soil profiles held in the WISE database, complemented with expert-rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (> 2 mm), and available water capacity (-33 to -1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and can be linked to the 1:5M scale SOTERLAC map in a GIS, through the unique SOTER-unit code. The secondary data set is considered appropriate for studies at the continental scale (< 1:5M). Correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered.
Africa Soil Profiles Database (version 1.1)
Leenaars, J.G.B. - \ 2014
soil science
ISRIC World Soil Information is compiling legacy soil profile data of Sub Saharan Africa, as a project activity of the AfSIS project (Globally integrated Africa Soil Information Service). http://www.africasoils.net/data/legacyprofile The Africa Soil Profiles database, version. 1.1 (March 2013) holds 16,711 unique soil profile records, inventoried from a wide variety of data sources (> 450), of which 15,499 records are georeferenced, including soil profile layer attribute data. Soil analytical data are available for 13,835 profiles, of which 12,683 are georeferenced. The database includes, but is not limited, to the soil attributes specified by GlobalSoilMap.net. Soil attribute values are standardized according to e-SOTER conventions and validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness. Updated milestone versions of the dataset have been posted online and made available to the project. The continuously growing dataset will also be made available through the World Soil Information Service upon continuation of the project activity. The current version is released here as version 1.1.
SOTER-based soil parameter estimates for Southern Africa (ver. 1.0)
Batjes, N.H. - \ 2014
soil science
This harmonized set of soil parameter estimates for Southern Africa has been derived from the 1:2M scale Soil and Terrain Database for Southern Africa (SOTERSAF ver. 1.0) and ISRIC-WISE soil profile database. The land surface of Southern Africa has been characterized using 4022 unique SOTER units, corresponding with 6099 polygons. The major soils have been ... described using 941 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. These sources seldom hold all the physical and chemical attributes ideally required by SOTER. Gaps in the measured soil profile data have been filled using a step-wise procedure that uses taxonomy-based pedotransfer rules, based on some 9600 soil profiles held in the WISE2 database. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (> 2 mm), and available water capacity (-33 to -1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and can be linked to the 1:2M scale SOTERSAF map in a GIS, through the unique SOTER-unit code. The secondary data are considered appropriate for studies at the continental scale. Correlation of soil analytical data should be done more rigorously when more detailed scientific work is considered. The attribute database is available in Microsoft Access and SQlite format (SOTWIS_SAF_sqlite.zip).
SOTER-based soil parameter estimates for Central Africa - DR of Congo, Burundi and Rwanda (ver. 1.0)
Batjes, N.H. - \ 2014
soil science
This harmonized set of soil parameter estimates for Central Africa, comprising Burundi, the Democratic Republic of the Congo and Rwanda, was derived from the Soil and Terrain Database for Central Africa (SOTERCAF ver. 1.0) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. The land surface of Central Africa, ... comprising some 2.4 million km2, has been characterized using 244 unique SOTER units, corresponding with 504 polygons. Each SOTER unit may consist of up to 6 soil components; each of these has been characterized by a representative profile. The main soil units mapped for the region have been characterized using 167 real profiles, selected by soil experts as being regionally representative for these units. The associated soil analytical data have been derived from soil survey reports. Gaps in the measured soil data have been filled using a scheme of using a step-wise procedure that uses taxotransfer rules. These rules were developed using some 5672 soil profiles, held in the ISRIC-WISE database, having similar FAO soil unit names as those reported in the primary SOTERCAF database. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, C/N ratio, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (> 2 mm), and available water capacity (-33 kPa to -1.5 MPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data.
Overview of soil phosphorus data from a large international soil database
Batjes, N.H. - \ 2014
soil science
An overiew of extractable soil phosphorus (P-Bray, P-Olsen, P-Mehlich and P-water) and P-retention data held in a large profile database is presented. The primary aim is to assess whether representative P-values, by broad soil group (FAO system), can be determined for each of these analytical methods to support GIS-based assessments of food security. The study was carried in the framework of the project “Resource scarcity and distribution in a changing world” (BO-10-011-007) of the (former) Ministry of LNV (Agriculture, Nature conservation and Food quality), implemented by the Business Unit Agrosystems Research (AGRO) of Plant Research International (PRI), Wageningen University and Research Centre
SOTER-based soil parameter estimates for Brazil (ver. 1.0)
Batjes, N.H. - \ 2014
soil science
This dataset presents harmonized soil parameter estimates for Brazil. The 1:5M scale Soil and Terrain Database for Latin America and the Caribbean (FAO et al. 1998), provided the basis for the current study. The data set has been prepared for the project on &Assessment of soil organic carbon stocks and change at national scale& (GEF-SOC), which has the Brazilian Amazon as one of its four case ... study areas [http://www.nrel.colostate.edu/projects/gefsoc-uk/]. The land surface of Brazil has been characterized using 299 unique SOTER units, corresponding with 839 polygons. The major soils have been described using 584 profiles, selected by national soil experts as being representative for these units. The associated soil analytical data have been derived from soil survey reports. Gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collating additional measured soil analytical data where available; (2) filling gaps using expert knowledge and common sense; (3) filling the remaining gaps using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminum saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments (> 2mm), and available water capacity (-33 to -1500 kPa). These attributes have been identified as being useful for agro-ecological zoning, land evaluation, crop growth simulation, modelling of soil carbon stocks and change, and analyses of global environmental change. The current parameter estimates should be seen as best estimates based on the current selection of soil profiles and data clustering procedure. Taxotransfer rules have been flagged to provide an indication of the possible confidence in the derived data. Results are presented as summary files and can be linked to the 1:5 M scale SOTER map in a GIS, through the unique SOTER-unit code. The subset for the Amazon region, the Brazilian GEF-SOC case study area, has been clipped out of the national set using GIS. It includes 193 unique SOTER units, corresponding with 571 mapped polygons. The secondary data set is considered appropriate for studies at the national scale and regional scale (<1:5M). Correlation of soil analytical data, however, should be done more rigorously when more detailed scientific work is considered.
ISRIC-WISE international soil profile dataset
Batjes, N.H. - \ 2014
soil science
The WISE database provides a homogenized set of primary soil data relevant for a wide range of environmental studies, including agro-ecological zoning, assessments of crop production, soil vulnerability to pollution and soil gaseous emission potentials. This subset of WISE 1 contains 1125 globally distributed profiles and provided the basis for the Global Pedon Database (GPDB) of IGBP-DIS. (Note: The current version, v3.1 (MSAcess format), of the ISRIC-WISE database holds data for over 10,000 soil profiles] Profiles were selected from data holdings provided by the Natural Resources Conservation Service (USDA-NRCS), the Food and Agriculture Organization (FAO-SDB), and the International Soil Reference and Information Centre (ISRIC-ISIS). This dataset is presented in dBaseIV (dbf) format.
ISRIC-WISE revised soil property estimates for the soil types of the World
Batjes, N.H. - \ 2014
soil science
This dataset presents derived property values for 28 soil chemical and physical attributes identified as being useful for AEZ studies, crop growth simulation, and analyses of global environmental change. It is based on the analysis of over 9600 globally distributed soil profiles, held in a working copy of WISE. Criteria for clustering the data are in accordance with conventions developed at FAO, IIASA, and ISRIC for use with the Soil Map of the World. The lists of derived soil properties can be linked to the 1:5 million scale Soil Map of the World through the 1974 Legend soil unit code, and to SOTER databases through the Revised Legend code. Map unit complexity should be considered when making such linkages (see documentation).
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